Grovety

On-Device Learning on GRC AI Module

Purpose

Add AI functionality to a target device by embedding a chip with the pre-installed firmware.

Features

A self-learning engine doing Anomaly Detection and n-Class Classification in the time series data flow for providing Full turnkey AI functionality for integration in products of various complexity.

AI Module is based on the ODL (On-Device Learning) Computing approach for providing and enhancing AI scenarios with 2 working modes:
  • Training mode
  • Classification mode
High-performance speed in both modes: less than 2 sec

GRC AI Module is designed as a firmware solution for ESP32-C3 incorporating the best features of the frontline technologies presented by Espressif and the future-oriented development approach of the Grovety experts.

GRC AI Module utilizes all the capacities provided by ESP32-C3 FN4/H4 MCU. Basic characteristics of the MCU processors:
Main processor: RISC-V 32-bit microprocessor
  • Cores: 1
  • Clock frequency: up to 160 MHz
  • Performance: up to 600 DMIPS
Ultra low-power co-processor
Firmware communication interfaces: I2C, SPI
Ultra-low latency: Real-time applications
Exchange data protocols for the chip and external devices (API)
Non-volatile storage for data processing module

Description

GRC AI Module is an innovative and user-friendly solution for introducing AI functionality to your products in effortless and time-efficient manner. AI-based data processing offers a more flexible and powerful approach to analyzing and making decisions from large data collection. Machine learning algorithms autonomously learn patterns and relationships from the time series data flow.

The GRC AI Module is
  • A pre-installed firmware with neural network based on the next-generation ODL Computing approach. It provides anomaly detection and classification of input signals in accordance with the pre-trained data.
  • Intended for the use on ESP32 C3 FN4/H4 MCU, an optimal choice for AI-related scenarios and Artificial Intelligence of Things (AIoT) due to the acceleration for neural network computing and signal processing workloads provided by the SoC.

4 steps to get an AI-driven solution without extra expenses

Dev Board GRC serves best for developing PoC, MVP, and prototypes. See Datasheet.

Perks of using GRC AI Module

Saving time and resources at the development stage, as there is no need in
  • Development of mathematical and statistical anomaly models
  • Signal mapping and dataset preparation;
  • Training model in the cloud
Reducing expenses for the end solution, as there is no need to spend money on
  • Data transfer from a target device
  • Storing large amounts of data
  • Support of infrastructure for processing large data amounts
Development of autonomous solutions due to low power consumption and no need in data transfer to a server.
Privacy and security are guaranteed as there is no need in transferring sensor signal from the target device to a server
Vast potential of developing flexible solutions configurable to particular hardware.

Recommended sensors

  • Vibrations sensors​
  • Microphones
  • Current sensors​
  • Accelerometers
  • Temperature sensors​
  • Other sensors which control time series data flow

Functional Scheme

The GRC AI Module can be connected to various platforms, e.g. to the GRC Dev Board

Input:
  • Pre-processed data flow from a sensor
  • Control commands
Output:
Status
Classified as:
  • Anomaly
  • Device is in mode N

Application Domain

  • Predictive maintenance
  • Equipment condition monitoring
  • Smart Home Systems
  • Command word recognition
  • Gesture recognition

Benefits

  • The easiest way to integrate AI into your system
  • Save resources and development cost
  • Reach the highest performance with the ready optimized model

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